DEP - Data Engineering Platform
From raw data to ready‑to‑use AI—unified, guided, and instant.
DEP - Data Engineering Platform
The Data Engineering Platform unifies the entire data‑and‑AI lifecycle—letting users upload CSV, Parquet, JSON, or image files, connect to streaming APIs, and generate instruction‑response datasets—into a single, guided environment for researchers, engineers, scientists and data citizens. All raw data is stored in an integrated, governed data lake where schemas and contracts are enforced and ELT/ETL pipelines produce trusted, production‑ready datasets. The built‑in Data Explorer enables natural‑language queries, instant charts, and automated quality modules that detect missing values, outliers and duplicates and suggest AI‑driven fixes; image workflows support both templates and custom metrics. Preprocessing pipelines run directly in the UI, delivering clean datasets for training textual or vision models, while users can bring their own Python scripts, provision auto‑scaled GPU clusters with Ray, and track experiments, metrics and artifacts via MLflow. Fine‑tuned LLMs are deployed instantly to Ollama for immediate use (other models can be exported), and an AI‑guided experiment designer helps frame hypotheses and accelerate discovery, reducing trial‑and‑error.
